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Volumn 5, Issue 2, 2009, Pages 423-432

Feature selection using particle swarm optimization with application in spam filtering

Author keywords

Feature selection; Particle swam optimization; Spam filtering

Indexed keywords


EID: 64349098485     PISSN: 13494198     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (35)

References (26)
  • 1
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    • I. Androutsopoulos, G. Paliouras, V. Karkaletsis, G. Sakkis, C. D. Spyropoulos and P. Stamatopou-los, Learning to filter spam e-mail: A comparison of a naive bayesian and a memory-based approach, Proc. Workshop: Machine Learning and Textual Information Access, pp. 1-13, 2000.
    • I. Androutsopoulos, G. Paliouras, V. Karkaletsis, G. Sakkis, C. D. Spyropoulos and P. Stamatopou-los, Learning to filter spam e-mail: A comparison of a naive bayesian and a memory-based approach, Proc. Workshop: Machine Learning and Textual Information Access, pp. 1-13, 2000.
  • 7
    • 22544443981 scopus 로고    scopus 로고
    • A case-based technique for tracking concept drift in spam filtering
    • S. J. Delany, P. Cunningham, A. Tsymbal and L. Coyle, A case-based technique for tracking concept drift in spam filtering, Knowledge-Based Systems, vol.18, no.4-5, pp. 187-195, 2005.
    • (2005) Knowledge-Based Systems , vol.18 , Issue.4-5 , pp. 187-195
    • Delany, S.J.1    Cunningham, P.2    Tsymbal, A.3    Coyle, L.4
  • 8
    • 64349088280 scopus 로고    scopus 로고
    • D. Evett, Spam Statistics 2006, http://spam-filter-review.toptenreviews. com/spam-statistics.html
    • (2006) Spam Statistics
    • Evett, D.1
  • 9
    • 0032594950 scopus 로고    scopus 로고
    • Support vector machines for spam categorization
    • H. Drucker, D. Wu and V. N. Vapnik, Support vector machines for spam categorization, IEEE Trans. Neural Networks, vol.10, no.5, pp.1048-1054, 1999.
    • (1999) IEEE Trans. Neural Networks , vol.10 , Issue.5 , pp. 1048-1054
    • Drucker, H.1    Wu, D.2    Vapnik, V.N.3
  • 14
    • 0031352450 scopus 로고    scopus 로고
    • A discrete binary version of the particle swarm optimization algorithm
    • Man, and Cybernetics, pp
    • J. Kennedy and R. C. Eberhart, A discrete binary version of the particle swarm optimization algorithm, Proc. of the 1997 Conference on Systems, Man, and Cybernetics, pp.4104-4108, 1997.
    • (1997) Proc. of the 1997 Conference on Systems , pp. 4104-4108
    • Kennedy, J.1    Eberhart, R.C.2
  • 16
    • 33947200129 scopus 로고    scopus 로고
    • An empirical study of three machine learning methods for spam filtering
    • C.-C. Lai, An empirical study of three machine learning methods for spam filtering, Knowledge-Based Systems, vol.20, no.3, pp.249-254, 2007.
    • (2007) Knowledge-Based Systems , vol.20 , Issue.3 , pp. 249-254
    • Lai, C.-C.1
  • 18
    • 45549117987 scopus 로고
    • Term weighting approaches in automatic text retrieval
    • G. Salton and C. Buckley, Term weighting approaches in automatic text retrieval, Information Processing and Management, vol.24, no.5, pp.513-523, 1988.
    • (1988) Information Processing and Management , vol.24 , Issue.5 , pp. 513-523
    • Salton, G.1    Buckley, C.2
  • 20
    • 0002442796 scopus 로고    scopus 로고
    • Machine learning in automated text categorization
    • F. Sebastiani, Machine learning in automated text categorization, ACM Computing Surveys, vol.34, no.l, pp. 1-47, 2002.
    • (2002) ACM Computing Surveys , vol.34 , Issue.L , pp. 1-47
    • Sebastiani, F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.